Skip to content
View AlexanderLago's full-sized avatar
2 followers · 3 following
Block or Report

Block or report AlexanderLago

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
AlexanderLago/README.md
  • 👋 Hi, I’m @AlexanderLago
  • 👀 I’m interested in Data Analysis, Economics, and Statistics
  • 🌱 I’m currently learning Python, R, MATLAB and Stata
  • 💞️ I’m looking to collaborate on Data Science Projects
  • 📫 How to reach me [email protected]

Pinned

  1. Amazon-Data-Project Amazon-Data-Project Public

    Project where I pull costs and taxes charged to me by my Amazon account using Python

    Jupyter Notebook

  2. Function-Approximation-Optimization-Problem Function-Approximation-Optimization-Problem Public

    This project involves approximating a function to solve an optimization problem. Functions can often be costly to write in code. Approximating a function can sometimes save time and money. Especial…

    MATLAB

  3. Real-GDP-per-Capita-Detrending-and-Analysis Real-GDP-per-Capita-Detrending-and-Analysis Public

    Project where I import Real US GDP per capita since 1947-2021. I change the data to log and I detrend it to show a more accurate representation without the trends. I do this with linear detrending.…

    Jupyter Notebook

  4. Simple-Linear-Regression-Analysis-of-Big-Mac-Prices-on-GDP-per-Capita Simple-Linear-Regression-Analysis-of-Big-Mac-Prices-on-GDP-per-Capita Public

    In this project I conducted a simple linear regression of Big Mac Prices on GDP Per Capita. I downloaded data on GDP Per Capita and Big Mac prices from every country in the world from 2011 to 2021.…

    Jupyter Notebook

  5. Wealth-Effect-on-Labor-Supply- Wealth-Effect-on-Labor-Supply- Public

    In this project I use Lagrangians to find labor supply. I use for loops, various functions, and various programming techniques to get a final result

    MATLAB

  6. Logistic-Regression-Vs-Support-Vector-Machine-Comparison Logistic-Regression-Vs-Support-Vector-Machine-Comparison Public

    When should we use Support Vector Machines Versus Logistic Regression for Classification? I compare both when there are a different number of predictors (p) and a different percentage of Trained (m…

    Jupyter Notebook